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Paper Citation Record · LEDGER

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.15393.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.15393 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:28:14.514114Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T11:36:55.562989Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 318c84bd-5cd2-4061-8061-30d38328e71c · inbound

Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension cites this paper.

Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T14:56:08.332445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:56:08.332445Z digest=sha256:128e38663782bda28e667f8f634bdfe40ea06b5081f5418a43d2489a2503ee0c

Observation 32ed574c-a15e-4127-b44e-fb49d7ed90a8 · inbound

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation cites this paper.

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T20:25:14.516822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:25:14.516822Z digest=sha256:16f09d4a0c5eaf636c7d9c07aa37143f1fcb3673c42311e4d01f58c44634e96e

Observation 6cb7c742-edfe-4324-8c28-61984f90fa25 · inbound

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers cites this paper.

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:38.267762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:38.267762Z digest=sha256:d2035993cd3c0fda7a17f98ac9fe4d6dbc1b3babfa7cdd41113cbcc0fc1b9488

Observation da1aa099-20a3-46e0-a396-41eb294e5e9e · inbound

GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields cites this paper.

GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:43.132312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:43.132312Z digest=sha256:ce23909b5cb422bf50da3c717c69edde145fce3b7af0e4fcd379e718356ff522

Observation c7088e31-c710-430b-926f-ad90e151fd48 · inbound

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis cites this paper.

SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:07.047636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:00:07.047636Z digest=sha256:d2ce1fbf1db6de5f510d29dfbb5cbbe283792adb50f648da1996d5f05ceb7d80

Observation 1dd7edcc-20d2-41b8-ab01-99bbde2eca25 · inbound

Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning cites this paper.

Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 266

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:20.875111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:38:20.875111Z digest=sha256:ff1fbaef663d4eaf2169b08bf3c0ba3e9f99067df6aa524dab7cfcf11ac040b9

Observation dda0a291-74e0-4055-87af-39cdf28ea324 · inbound

Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation cites this paper.

Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:36:55.564288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T03:11:18.416545Z digest=sha256:bbbdca0574b40fa56479e05773bae0e7bba7a058f90ab3a8d1d254a5618e2361

Observation 08b4b17e-d836-40a1-b6ff-038dadcdbdd3 · inbound

Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models cites this paper.

Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T21:07:57.741701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:07:57.741701Z digest=sha256:c5c238dfc4e56cf19b46b0b15ed4f9d36bb7b51ff888fd15b957ca9e928a1cc0

Observation ac59ed38-9f1e-4093-b86e-33ca02021e42 · inbound

D3D-GEN: Robot-Aware Domain-Grounded Interactive 3D World Generation for Social Robotics cites this paper.

D3D-GEN: Robot-Aware Domain-Grounded Interactive 3D World Generation for Social Robotics LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:28:14.514114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:28:14.514114Z digest=sha256:a9424fdfcfc6c0031e6848a6885e1a6fc14cdd63138665ebe2d16bea2efa359e